diff --git a/litellm/main.py b/litellm/main.py
index 4f28ba5c2d..2b8f13204d 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -812,61 +812,6 @@ def completion(
                 response = CustomStreamWrapper(model_response, model, custom_llm_provider="maritalk", logging_obj=logging)
                 return response
             response = model_response
-        elif custom_llm_provider == "deepinfra": # for now this NEEDS to be above Hugging Face otherwise all calls to meta-llama/Llama-2-70b-chat-hf go to hf, we need this to go to deep infra if user sets provider to deep infra 
-            # this can be called with the openai python package
-            api_key = (
-                api_key or
-                litellm.api_key or
-                litellm.openai_key or
-                get_secret("DEEPINFRA_API_KEY")
-            )
-
-            api_base = (
-                api_base
-                or litellm.api_base
-                or get_secret("DEEPINFRA_API_BASE")
-                or "https://api.deepinfra.com/v1/openai"
-            )
-
-            headers = (
-                headers or
-                litellm.headers
-            )
-
-            ## LOGGING
-            logging.pre_call(
-                input=messages,
-                api_key=api_key,
-            )
-            ## COMPLETION CALL
-            openai.api_key = api_key # set key for deep infra 
-            openai.base_url = api_base # use the deepinfra api base
-            try:
-                response = openai.chat.completions.create(
-                    model=model, # type: ignore
-                    messages=messages, # type: ignore
-                    api_type="openai", # type: ignore
-                    api_version=api_version, # type: ignore
-                    **optional_params, # type: ignore
-                )
-            except Exception as e:
-                ## LOGGING - log the original exception returned
-                logging.post_call(
-                    input=messages,
-                    api_key=api_key,
-                    original_response=str(e),
-                )
-                raise e
-            if "stream" in optional_params and optional_params["stream"] == True:
-                response = CustomStreamWrapper(response, model, custom_llm_provider="openai", logging_obj=logging)
-                return response
-            ## LOGGING
-            logging.post_call(
-                input=messages,
-                api_key=api_key,
-                original_response=response,
-                additional_args={"headers": headers},
-            )
         elif ( 
             custom_llm_provider == "huggingface"
         ):
diff --git a/litellm/utils.py b/litellm/utils.py
index cb17812d99..c11d29341d 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -1992,6 +1992,11 @@ def get_llm_provider(model: str, custom_llm_provider: Optional[str] = None, api_
                 api_base = "https://api.endpoints.anyscale.com/v1"
                 dynamic_api_key = os.getenv("ANYSCALE_API_KEY")
                 custom_llm_provider = "custom_openai"
+            elif custom_llm_provider == "deepinfra": 
+                # deepinfra is openai compatible, we just need to set this to custom_openai and have the api_base be https://api.endpoints.anyscale.com/v1
+                api_base = "https://api.deepinfra.com/v1/openai"
+                dynamic_api_key = os.getenv("DEEPINFRA_API_KEY")
+                custom_llm_provider = "custom_openai"
             return model, custom_llm_provider, dynamic_api_key, api_base
 
         # check if api base is a known openai compatible endpoint